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ChatGPT Tasks: How to use them and two tips that'll save you hours

OpenAI hits 400M weekly users, Le Chat reaches 1M downloads in 14 days, Figure AI unveils AI model for humanoid robots and more!

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Everyday AI
February 20, 2025

Outsmart The Future

Today in Everyday AI
6 minute read

🎙 Daily Podcast Episode: Wondering how to use OpenAI’s Task mode inside ChatGPT? We break down how it works. Give it a listen.

🕵️‍♂️ Fresh Finds: OpenAI calls out Grok 3 for cheating and deceiving, Rabbit releases new AI agent, Pika Labs unveils new swap feature and AI biology model creates DNA on demand. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: OpenAI hits 400M weekly users, Le Chat reaches 1M downloads in 14 days and Figure AI unveils AI model for humanoid robots. For that and more, read on for Byte Sized News.

🚀 AI In 5: Want the cliff notes on ChatGPT’s new Task mode? We break it down in this short review. See it here

🧠 Learn & Leveraging AI: Here’s what you need to know about ChatGPT Tasks mode and you how to use it properly. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about a Deep Research comparison, Google’s AI co-scientist system, Microsoft’s AI gaming model and Meta’s global AI infrastructure plan. Check it here!

 ChatGPT Tasks: How to use them and two tips that’ll save you hours 🗓

You're probably using ChatGPT Tasks all wrong.

We're going to give you TWO of the biggest cheat codes when it comes to ChatGPT tasks.

Join the conversation and ask Jordan questions on ChatGPT here.

Also on the pod today:

• Importance of Context Tasking ✅
• Utility of ChatGPT's Task Feature 🤖
• Agentic AI and Task Automation 🔄

It’ll be worth your 49 minutes:

Listen on our site:

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Listen on:

Upcoming Everyday AI Livestreams

Friday, February 21st at 7:30 am CST ⬇️

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight – Latitude is an open-source prompt engineering platform, Height.app is an autonomous project management tool and Handinger helps extract data from the internet.

Trending in AI – The Head of Applied Research at OpenAI claims Grok 3 cheated and deceived in its benchmarks.

AI Agents – Rabbit, creator of the Rabbit R1, has unveiled its new AI agent.

AI Video – Pika Labs is releasing Pikaswaps, a way to replace anything in your video with an uploaded photo.

AI in Science – The largest AI biology model created to date can write DNA on demand.

AI Models – Poe is releasing chat history caching.

Business of AI - Clearview’s AI CEO Ton-That has resigned.

Money in AI – Together AI has raised $305 million to expand its AI cloud service.

1. OpenAI Hits 400 Million Weekly Users 🤯

OpenAI is rapidly cementing its status as a consumer tech giant, now boasting 400 million weekly active users, up from 300 million in December 2024, according to CNBC. This surge underscores the growing popularity of its AI chatbot, ChatGPT, even as OpenAI remains tight-lipped about how many users are opting for paid subscriptions.

On the business side, ChatGPT’s enterprise plans are thriving with 2 million paying users, doubling since September 2024, while developer API traffic has also doubled in six months.

2. Le Chat Roars with 1M Downloads in Two Weeks 🚀

Mistral's AI assistant, Le Chat, has hit one million downloads just 14 days after launch, according to Le Parisien. Surpassing competitors, it’s already leading the free download charts on France’s iOS App Store.

French President Emmanuel Macron even gave it a shoutout, suggesting viewers opt for Le Chat over OpenAI’s ChatGPT. With giants like Google and Microsoft also vying for your phone’s AI assistant slot, the race to dominate digital dialogue is heating up.

3. Figure Unveils Helix for Humanoid Robotics 🦾

Brett Adcock, founder and CEO of Figure, has just announced Helix, a Vision-Language-Action (VLA) model designed to revolutionize humanoid robotics. Helix enables robots to execute tasks by understanding natural language prompts while assessing their surroundings, marking a significant leap towards integrating robots into home environments.

This breakthrough aims to tackle the complexities of household tasks, previously a daunting challenge due to inconsistent environments and the necessity for substantial human programming.

4. Microsoft's Bold AI and Quantum Leap 🤖

In a recent interview, Microsoft CEO Satya Nadella unveiled the company's ambitious plans for artificial intelligence, emphasizing a surge in compute capacity to meet growing demands. Nadella highlighted a strategic balance between building and leasing compute resources, aiming to drive down costs while preparing for the future. He dismissed the hype around AGI milestones, instead likening AI's transformative power to that of the steam engine, foreseeing significant economic growth.

Additionally, Nadella revealed Microsoft's significant advancement in quantum computing, with hopes of constructing a utility-scale quantum computer within four years—a move that could reshape industries and careers alike.

5. iPhone Users Get Google Search Upgrade with Google Lens 📱

Google is rolling out new search gestures for iPhone users, bringing the power of Lens screen-searching to both the Google app and Chrome browser, reports The Verge. This enhancement allows users to highlight text, images, or videos directly on their screens for an immediate search without needing to take a screenshot.

While this mirrors Android’s Circle to Search feature, it’s currently limited to the Google ecosystem on iOS. As AI Overviews expand in Lens results, users will experience more AI-generated summaries, although disabling this feature remains a challenge.

6. Spotify Partners with ElevenLabs for AI Narrated Audiobooks 🔊

Spotify is teaming up with ElevenLabs to offer AI-narrated titles. This collaboration allows authors to narrate their works in 29 languages, with a Pro plan offering up to 500 minutes of narration for $99/month. The move follows Spotify's previous partnership with Google Play Books and signals a growing trend in AI-generated audiobooks, though it's sparking debates about audio quality.

With Spotify labeling AI-narrated titles, listeners can easily spot these tech-driven renditions while the industry navigates the potential impact on traditional publishing.

ChatGPT Tasks Review - Agentic AI or small feature update?

OpenAI recently released ChatGPT Tasks.

We’re going over what they are, how they work and the pros and cons.

Plus we’ll talk about advanced ways this new feature can help automate your work.

🦾How You Can Leverage:

Don’t listen to OpenAI on this one. 

If you check their marketing and Tweets, you’d think their new Tasks feature is kinda like a to-do or reminders app. 

But it’s not. 

Spoiler alert — almost everyone is thinking about ChatGPT tasks wrong. 

Tasks isn't just some notification system - it's literally the blueprint for OpenAI's upcoming autonomous AI platform.

And y'all. It's WILD.

After testing five different paid accounts and pushing every limit possible, we've uncovered exactly how Tasks is laying the groundwork for OpenAI's mysterious Operator system.

This isn't speculation. The Operator subdomain already exists. 

Tasks is our training ground.

And we gave you the 101 and 201 on today’s show. Here’s what ya need to know y’all.

1 – Task Stacking: The Art of AI Chain Reactions ⤵️

Remember dominos? 

Tasks can work like that. 

(Full disclosure, they’re in Beta and OpenAI is likely getting slammed. So we’re seeing a lot of ‘Delays.’ Right now. So give it some time.) 

Oh yeah, back to dominos. 

One falls into the next into the next. Each task reads previous outputs, analyzes them, and creates new insights. No humans needed.

Here's what's fascinating: During testing, a three-task chain emerged as the sweet spot. Task one gathered marketing news at 7:57 AM. Task two analyzed those stories at 7:58 AM, specifically picking ones relevant to the business. Task three took those insights at 7:59 AM and turned them into actionable strategies.

The real magic? The AI remembered everything. When task three suggested implementing a new marketing strategy, it considered both the original news AND the strategic analysis from task two. Pure digital alchemy.

Try This:

Start with market research. Create your first task to monitor industry news every morning. 

Your second task should analyze those stories specifically for your business (pro tip: include phrases like "most relevant to [your company]" in the instructions). 

Cap it off with a third task that transforms those insights into bullet-pointed action items. Make each task explicitly reference "the context of this chat" - that's how they share information.

Actually….. Trust us. Just go reshare/respost this episode and we have a nice freebie for you that you’ll REALLY wanna see. 

2 – Context Tasks: Your AI’s Secret Weapon 🤫

Here's what nobody's talking about: Tasks live where they're born.

Create a task in a chat loaded with business context? That task becomes a context-aware AI worker.

During testing, loading a chat with 437 podcast episodes' worth of data BEFORE creating tasks resulted in hyper-relevant, business-specific outputs.

The AI didn't just find news - it found news that mattered to that specific business model.

And guess what? You can use deep research mode to instantly generate this context.

No manual data entry required.

Try This:

Before creating any tasks, feed your chat the good stuff. Company metrics, competitor data, strategic goals - everything. 

Use deep research mode to pull relevant industry data. Then create tasks that explicitly reference this context. The difference between "find news" and "find news considering our Q1 expansion into AI consulting" is staggering.

Give your ChatGPT Tasks chats a context jumpstart by feeding it content from Deep Research. 

3 – The Hidden Operator Connection: Why this MATTERS 🕵

Let's connect some dots shorties. 

OpenAI's mysterious Operator subdomain appears. Suddenly, we get Tasks - a feature that teaches us how to orchestrate AI agents. 

Coincidence? Naaaaaaaah. 

The evidence is in the details. Tasks are limited to 10 per user - perfect for learning basic orchestration. They're confined to their creation chat - teaching us about context management.

Even the bugs (like delayed execution during high traffic) are valuable lessons in AI system management.

We're literally practicing for the future of autonomous AI workflows. 

Right now.

Try This:

Build a conditional logic flow. Create tasks that make decisions based on data. Example: Task one monitors stock prices. Task two analyzes significant moves (think NVIDIA jumping 5%). Task three generates action plans based on those analyses. This isn't just automation - it's autonomous decision-making in action.

Pro Tips From the Testing Lab:

  • Tasks truncates instructions by default. Always edit your task after creation to restore your full, detailed instructions.

  • You can't use Projects mode with Tasks (yet), so load your context manually.

  • The GPT-4 Turbo model handles Tasks best - other models get confused.

  • Keep your task chains in the same chat. Moving them breaks the context chain.

  • Use specific time intervals (like 7:57, 7:58, 7:59) rather than simultaneous scheduling to ensure proper task sequencing.

The pros aren't using Tasks to remember their laundry. They're building autonomous AI workflows, testing context management patterns, and preparing for the next evolution in AI automation.

While everyone else figures this out six months from now, you'll be ready for whatever OpenAI drops next. Because Tasks isn't the destination - it's the tutorial level for the future of AI agents.

Time to level up.

⌚

Numbers to watch

$3 Billion

AI coding startup Codeium is in talks to raise at a close to $3B valuation.

Now This …

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